大数据教研室
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【教研室主任】姜玉山
发布时间:2020-04-29 09:56   浏览:

姜玉山

一、基本资料

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197912月生,男,汉族,博士现任数据科学与大数据技术专业教研室主任。

二、教育背景与工作经历


2002年6月于河北师范大学获理学学士学位,毕业专业:基础数学

2004年6月于哈尔滨工业大学获理学硕士学位,研究方向:偏微分方程

2017年1月于东北大学获得工学博士学位,研究方向:系统复杂性理论

2004.09-至今,就职于东北大学秦皇岛分校数学与统计学院

2007.09-2019.06 东北大学秦皇岛分校信息与计算科学专业主任

2019.09-至今 东北大学数据科学与大数据技术专业主任


三、主讲课程和研究方向

本科生课程:

   数学物理方程、常微分方程、数值分析、数学建模、数学软件、大数据科学导论

研究方向:

   奇异分布参数系统建模、工业流程大数据分析处理


四、主要成果和荣誉

科研成果:

[1] Jinchao Chen, Yushan Jiang, Zengxin Kang et al. Partial differential equation modelling of the solid–liquid phase process in iron sintering and interface control with backstepping method[J]. Ironmaking & Steelmaking, 2024.

[2] Zengxin Kang, Zhaoxia Wu, Jinchao Chen and Yushan Jiang. Interval prediction of sinter screening index based on gate recurrent unit and kernel density estimation algorithm[J] Ironmaking & Steelmaking, 2024.

[3] Jianghan Wang, Zhu Qu, Yihan Hu, and Yushan Jiang. Diagnosis and Treatment Knowledge Graph Modeling Application Based on Chinese Medical Records[J] Electronics, 2023.

[4] Guanglei Xia, Zhaoxia Wu, Mengyuan Liu, and Yushan Jiang. Prediction interval estimation of sinter drum index based on light gradient boosting machine and kernel density estimation[J] Ironmaking & Steelmaking, 2023.

[5] Kun Zhang, Chaoran Kong, Fuquan Sun and Yushan Jiang. Intelligent Recognition of Waterline Value Based on Neural Network[J] Computational and Experimental Simulations in Engineering, 2022.

[6] Yuqian Ren, Chuanqi Huang, Yushan Jiang and Zhaoxia Wu. Neural Network Prediction Model for Sinter Mixture Water Content Based on KPCA-GA Optimization[J] Metals, 2022.

[7] 陈鸿芳, 王紫曦, 王浩宇, 姜玉山. 基于SEIR的新型冠状肺炎预测与住院优化 [J] 应用数学进展, 2021.

[8] Cao Lei, Liu Yuelin, Liu Yuelin,He Yihui, and Yushan Jiang. Diagnosis Related Groups Study Based on Decision Tree -Using Data of Nasopharyngeal Carcinoma (NPC)[J] Advances in Applied Mathematics, 2019.

[9] Yushan Jiang, Ning Yang, Qingqi Yao, Zhaoxia Wu and Wei Jin. Real-time moisture control in sintering process using offline-online NARX neural networks [J]. Neurocomputing, 2019.

[10] Yushan Jiang, Chao Liu, Qingling Zhang and Tieyu Zhao. Two side observer design for singular distributed parameter systems [J]. Systems & control Letters, 2019,124: 112-120.

[11] Yushan Jiang, Qingling Zhang and Haiyan Wang. Modeling boyciana-fish-human interaction with partial differential algebraic equations [J]. Mathematical Biosciences, 2016, 277: 141-152

[12] Yushan Jiang and Qingling Zhang. Estimation and global stability analysis of PDAEs with singular time derivative matrix and wetland conservation application [J]. Discrete Dynamics in Nature and Society, 2016,1-10.

[13] Yushan Jiang, Qingling Zhang and Li Li. State feedback control on singular distributed parameter system with parabolic-elliptic type[C]. Proc. China. Control Decis. Conf., Yinchuan, China, IEEE Computer Society, 2016: 679-681.

[14] Yushan Jiang and Qingling Zhang. On improved 3MIC algorithm on exploring large data sets with multi-variables and application [C]. International Conf. on Intelligent Human-Machine Systems and Cybernetics, Hangzhou, P.R.China, IEEE Computer Society, 2015: 157-160.

[15] Yushan Jiang, Qingling Zhang and Chao Liu. Some novel measurement on exploring large data sets based on multi-variables mutual information theory [J], Journal of Theoretical and Applied Information Technology, 2013, 47(2): 547-550.

[16] 姜玉山, 李宏伟, 李晓奇. 具有社会行为的HIV传播模型[J]. 生物数学学报, 2009(4):620-623.

[17] Y.S. Jiang, Q.L. Zhang. Some Repeater Coordination Model Based on Density Dilution Algorithm [C]. 2011 Fourth International Symposium on Computational Intelligence and Design.2011.30-31.(EI检索)

[18] Y.S. Jiang, Q.L. Zhang, C. Liu. Some Novel Measurement on Exploring Large Data Sets Based on Multi-Variables Mutual Information Theory. Journal of Theoretical and Applied Information Technology. (EI检索)

[19] Y.S. Jiang, Q.L. Zhang and C. Liu. On Improved 3MIC Algorithm on Exploring Large Data Sets with Multivariables and Application [C]. International Conference on Intelligent Human-machine Systems & Cybernetics. 2015, 157-160.

[20] 姜玉山, 刘超,李建辉.带延迟时间的宿营地分配问题的EIF算法分析及仿真. 工程数学学报. 2014

[21] Y.S. Jiang,Q.L. Zhang. On Improved 3MIC Algorithm on Exploring Large Data Sets with Multi-Variables and Application [C]. International Conference on Intelligent Human-Machine Systems and Cybernetics. 2015,157-160. (EI检索)

主要科研项目:

[1] 河北省教育厅资助科研项目(z2014096):基于网格技术及高维熵理论的多维关联性算法及生态学应用,已结题。

[2] 河北省高等教育教学改革项目(2015GJJG241):社会调查跟踪反馈驱动下信息与计算科学专业教学改革,已结题。

[3] 科技部重点研发计划(2018YFB1402800):智能服务适配理论与关键技术,已结题。

[4] 教育部科技发展中心(2018A03031): 单病种全周期医疗数据挖掘关键技术研究与疾病预测,已结题。

主要著作:

[1] 姜玉山,徐延钦等. 数学物理方程. 北京: 清华大学出版社, 2014. 东北大学秦皇岛分校校级立项教材, 清华大学出版社“十二五”规划教材。

[2] 高等代数学习方法与解题指导, 东北大学出版社, 2005, 副主编。

指导学生竞赛获奖:

2010-2024年,组织、培训、指导学生参加国际大学生数学建模竞赛累计获国际特等奖19项,一等奖82项,二等奖316项。

荣誉及获奖:

曾先后获得河北省数学建模优秀指导教师、东北大学秦皇岛分校优秀教师、河北省优秀教育科研成果二等奖、东北大学秦皇岛分校创新创业教育优秀指导教师、东北大学秦皇岛分校本科生毕业设计优秀指导教师。


五、主要社会团体兼职

中国工业与应用数学学会(CSIAM)会员

中国人工智能学会(CAAI)会员

全国高校大数据联盟委员

全国高校大数据开放实践基地组委会委员

河北省现场统计学会委员

辽宁省生物数学学会会员

河北省数理医学学会医养与智慧康养管理专业委员会常委


六、联系方式

电子邮箱:jiangyushan@neuq.edu.cn

个人主页:https://www.researchgate.net/profile/Yushan_Jiang




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